We're thrilled to announce a significant milestone in our journey towards transforming the world of AI and Computer Vision (CV). We have been awarded a prestigious grant from Innovate UK, a leading organisation dedicated to driving innovation, economic growth, and business development in the United Kingdom. But what does this funding mean for us, and why is it such a big deal? Let's dive into the details and explore the exciting future that lies ahead.
At Neurolabs, we’re on a mission to democratise CV and our unique approach harnesses the power of synthetic data to simulate complex real-world scenarios, making object recognition faster and more cost-effective than ever before. Importantly, our synthetic data includes pixel-level annotations, eliminating a major obstacle and cost driver in the world of deep learning computer vision models.
Building on this innovative technology, we have created a low-code computer vision platform that offers object recognition as a service. This eliminates the need for extensive data acquisition or model training for our enterprise customers, enabling them to onboard 10 times faster than competitors.
Our primary focus is on the supply chain of consumer packaged goods (CPG) in retail and beyond. The challenge we are addressing is the development of robust and generalisable object recognition models that can be used across various use cases without the need for extensive model training and data preparation.
To tackle this challenge, we are collaborating with a team of experts from the University of Edinburgh who are leaders in diffusion-based optimisation algorithms. This partnership will pave the way for the creation of algorithms tailored to optimise the training of object recognition models for CPG applications.
At Neurolabs, we envision a future where our computer vision technology becomes a "plug-and-play" platform, adaptable to various industries and use cases across the CPG supply chain. From product sorting in waste management to autonomous checkout stores and inventory visibility in warehouses, the possibilities are endless.
Our collaboration with the University of Edinburgh and the South Korean project team at UNIST will lead to the development of computer vision models with absolute performance guarantees. These foundational models will provide cross-domain generalisability, streamlining model development and minimising the need for specialised models for each use case. We are committed to democratising computer vision, ensuring that small, medium-sized and large enterprises can harness the transformative power of our technology.
As part of our dedication to the community, we will open-source some of our groundbreaking algorithms developed, expanding their applicability beyond our proprietary models.
The funding from Innovate UK will enable us to:
Accelerate the development of robust and generalisable object recognition models.
Expand our technology's reach across various use cases within the CPG supply chain.
Establish ourselves as leaders in the rapidly growing field of computer vision.
Our work also aligns with the UK government's vision to establish the country as an AI powerhouse and reduce dependence on non-UK businesses in this rapidly evolving landscape. In the coming years, we are poised to transform the world of computer vision, making it more accessible, efficient, and adaptable than ever before. We look forward to a future where our technology enhances productivity, drives innovation, and leads the way in the supply chain of consumer packaged goods.
If you would like to find out more about our technology and how it can transform your retail operations simply book a demo and speak to one of our experts. Alternatively, if you’re looking for an image recognition partner, take a look at how you can become a partner today.
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At Neurolabs, we are revolutionising in-store retail performance with our advanced image recognition technology, ZIA. Our cutting-edge technology enables retailers, field marketing agencies and CPG brands to optimise store execution, enhance the customer experience, and boost revenue as we build the most comprehensive 3D asset library for product recognition in the CPG industry.